Kevin Moreno Gata | Architecture | Best Researcher Award

Mr. Kevin Moreno Gata | Architecture | Best Researcher Award

Research Associate, RWTH Aachen University, Germany

Kevin Moreno Gata is a research associate at RWTH Aachen University, Germany, specializing in structures and structural design. He holds extensive experience in developing innovative and sustainable building systems, particularly using naturally grown timber as a basis for load-bearing structures. With a strong foundation in both theoretical and applied research, Kevin contributes significantly to the advancement of engineering in the context of sustainable architecture and materials. 🌱🏗️

Publication Profile

ORCID

Education:

Kevin earned his academic credentials in the field of structural engineering, focusing on sustainable materials and construction practices. His academic pursuits have been complemented by his hands-on involvement in advanced research projects, contributing to the design and structural analysis of timber-based constructions. 🎓🔧

Experience:

Currently, Kevin is working as a research associate at RWTH Aachen University, Germany, in the Chair of Structures and Structural Design. He is involved in various groundbreaking projects that explore innovative and sustainable ways of utilizing naturally grown timber in construction. His professional experience includes securing prestigious grants and collaborating with international research teams. 💼🌍

Research Interests:

Kevin’s research is primarily focused on the structural analysis, design, and simulation of naturally grown timber elements for use in load-bearing building structures. His interests include circular design in forest construction, the use of advanced computational methods for timber structures, and the development of new techniques for sustainable and environmentally friendly architecture. 🌳📐

Awards:

Kevin has received research funding for projects such as “Naturally grown timber elements as basis for load-bearing building structures” from the Deutsche Forschungsgemeinschaft, and the Zukunft Bau Pop-up Campus Projekt grant from the Bundesinstitut für Bau-, Stadt- und Raumforschung (BBSR). His innovative research continues to gain recognition and shape the future of sustainable building practices. 🏆🌍

Publications:

Function-Oriented Applicability Evaluation of Technical Folding Based on Expert Knowledge
Published: 2024-12-08
Journal: Applied Sciences
Read more here
Cited by: 5

Building with Naturally Grown Timber: Circular Design in Forest Construction – A Pedestrian Bridge Case Study
Published: 2024-08-26
Journal: Proceedings of the IASS 2024 Symposium Redefining the Art of Structural Design
Read more here
Cited by: 10

Geometrical Analysis of Naturally Grown Timber for the Design of Load-Bearing Structures
Published: 2024-06-30
Preprint: Read more here
Cited by: 3

Generalised Scaled Boundary Isogeometric Analysis–A Method for Structural Analysis of Naturally Shaped Timber Structures
Published: 2024
Journal: Wood Material Science and Engineering
Read more here
Cited by: 15

 

Sseguya Fred | Environmental Engineering | Best Researcher Award

Dr. Sseguya Fred | Environmental Engineering | Best Researcher Award

Doctoral Researcher, Sungkyunkwan University, South Korea

🌍 Dr. Sseguya Fred, born on March 24, 1987, is a dedicated Doctoral Researcher at Sungkyunkwan University, Seoul, South Korea, specializing in water and environmental engineering. With a strong academic background and professional expertise, he integrates advanced technologies like machine learning and remote sensing to address pressing global challenges in hydrology, flooding, and drought analysis. Fred’s research contributions reflect his commitment to sustainable resource management and environmental engineering. 🌱📊

Publication Profile

Scopus

Education

🎓 Dr. Sseguya Fred holds a Doctoral Researcher position at Sungkyunkwan University, Seoul, South Korea, in the Department of Civil, Architectural, and Environmental System Engineering. He earned a Master of Science in Water Resources Technology and Management from the University of Birmingham, UK 🌧️, and a Bachelor of Science in Civil and Water Resources Engineering from the University of Dar es Salaam, Tanzania. 🌊📘

Experience

🔧 Fred worked as an Engineer for Uganda’s Ministry of Water and Environment (2013–2019), overseeing water diversion for dam construction, monitoring water quality 🌿, and ensuring environmental compliance. Since 2020, he has been advancing water and environmental engineering research at Sungkyunkwan University, focusing on machine learning, remote sensing, and hydrological systems. 🛰️💻

Research Interests

📡 Dr. Sseguya Fred’s research spans hydrology and water resource management, remote sensing applications, and the integration of machine learning for analyzing floods and droughts. He is also passionate about environmental engineering and the sustainable management of hydraulic systems. 🌍💧

Awards

🏆 Although specific awards are not listed, Dr. Fred’s academic journey and professional achievements demonstrate his dedication to excellence in environmental engineering and hydrology.

Publications

Deep Learning Ensemble for Flood Probability Analysis

Drought Quantification in Africa Using Remote Sensing, Gaussian Kernel, and Machine Learning